A multi-scale plane-detection method based on the Hough transform and region growing

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• 作者：Xiaoxu Leng ; Jun Xiao and Ying Wang
• 刊名：The Photogrammetric Record
• 出版年：2016
• 出版时间：June 2016
• 年：2016
• 卷：31
• 期：154
• 页码：166-192
• 全文大小：1863K
• ISSN：1477-9730

文摘

The detection of planes from 3D point clouds plays an important role in fields such as 3D modelling, rock mechanics, registration and robotics. A multi-scale plane-detection method is proposed, based on extracting growth units using the Hough transform and subsequent region growing into actual plane boundaries. Because the approximate geometric features of the original plane area can be obtained from the growth units, discriminant conditions for adaptive plane growing could be provided for the growing stage. In order to detect physical planes at different scales, a strategy of multi-scale normal estimation is introduced. Simulated icosahedron point clouds, together with actual engineering point clouds, were used to test the performance of the proposed method. Experimental results show that planar point clouds could be detected effectively, especially with rock-mass engineering applications.